What users are saying about
Top Rated
103 Ratings
Top Rated
103 Ratings
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Score 8.6 out of 100
33 Ratings
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Score 8.1 out of 100

Likelihood to Recommend

Google BigQuery

BigQuery is unlike anything we've used as a big data tool. It is perfectly suited to query large data sets quickly and to store those large data sets for any time use. It's perfect for storing data and using it for reports. Logging data is the perfect application for BigQuery, but transactional data is possible as well
Tristan Dobbs | TrustRadius Reviewer

Google Cloud SQL

Google Cloud SQL was very easy to setup because our institution is already already invested in the Google Cloud Platform. If we had gone with Amazon or Azure, there would have been extra complexity and cost of getting established. The product is a great fit for organizations already invested in GCP. Google offers everything the others do, however third party vendor support is seriously lacking (aka the vendors refer you to other tools like AWS etc).
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Database-as-a-Service

Google BigQuery
9.0
Google Cloud SQL
8.6
Automatic software patching
Google BigQuery
9.3
Google Cloud SQL
9.1
Database scalability
Google BigQuery
9.3
Google Cloud SQL
8.6
Automated backups
Google BigQuery
8.7
Google Cloud SQL
8.2
Database security provisions
Google BigQuery
8.9
Google Cloud SQL
9.1
Monitoring and metrics
Google BigQuery
8.8
Google Cloud SQL
8.3
Automatic host deployment
Google BigQuery
9.0
Google Cloud SQL
8.0

Pros

Google BigQuery

  • How many pros can a person type? This storage program gives workers and students the reality of unlimited storage space. I have never came close to overfilling my google cloud storage because it's huge and the best. I can view anything I save on there from any of my internet devices which is very important.
  • Depending on how you have the program set up - either online or through an application that lives on your desktop, dragging and dropping files to and from Cloud Storage couldn't be any more uncomplicated. Plus, new users who meet certain criteria - like updating personal security, or share the program receive additional free online storage.
  • The array of tools is very impressive, intuitive to use, and well organized in the sense that you don't have to go looking for individual apps. They're all easily accessed via a single dropdown.
Sam Lepak | TrustRadius Reviewer

Google Cloud SQL

  • Easy setup - No host VM, no software installation or configuration required.
  • Day to day reliability - Not depending on host VM allows more uptime.
  • Long term reliability - Storage scaling, backups, and maintenance can be scheduled to occur automatically.
Anonymous | TrustRadius Reviewer

Cons

Google BigQuery

  • Though it is SQL some syntax are different but they are getting used to after you use for some time.
  • The legacy SQL is in beta state but can be used and you can run the query with simple SQL.
  • More documentation is needed for using User-defined functions in Big Query.
Anonymous | TrustRadius Reviewer

Google Cloud SQL

  • There is some functionality you cannot do from the console, including, granting and restricting user privileges, among other database management capabilities.
  • It is not trivial to connect to spun up VMS. Currently, we use the Cloud SQL proxy to do so.
Cameron Gable | TrustRadius Reviewer

Usability

Google BigQuery

Google BigQuery 9.0
Based on 1 answer
BigQuery is a little bit difficult to learn at first. The tools are all there but it takes a few hours of practice and trial and error to be comfortable processing a large dataset. It can handle quite a bit and the cloud storage makes those experimental practice hours much easier to do in your spare time. The software is capable of doing a lot, it's just a matter of being patient and learning the ways of BigQuery.
Anonymous | TrustRadius Reviewer

Google Cloud SQL

No score
No answers yet
No answers on this topic

Support Rating

Google BigQuery

Google BigQuery 8.5
Based on 8 answers
I rated the overall support for Google BigQuery as a mediocre five because it has limited support from Google. Instead, it is heavily dependent on an organization's IT resources such as SQL analysts and Data Architects to run big data reports or maintain data quality. Additionally, if errors occur during a run of complex SQL queries or when sending data to Google BigQuery from other sources, Google provides basic email support which needs to be complemented with internal data warehouse support to fix the root cause of the database errors. Finally, due to constraints on the amount of data an analyst can query or pay the additional cost when exceeding the limit, basic Google support is not sufficient to meet data needs without interruption.
Anonymous | TrustRadius Reviewer

Google Cloud SQL

Google Cloud SQL 6.5
Based on 4 answers
I haven't used support for this product since I deployed my first instance. After running it for some years, the docs have always been enough to solve any problem I had encountered. But speaking about the vendor, Google Cloud support answered well and in an acceptable time to the few issues we needed to get assistance for.
Leonel Quinteros | TrustRadius Reviewer

Alternatives Considered

Google BigQuery

Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.
Csaba Toth | TrustRadius Reviewer

Google Cloud SQL

The Google Cloud SQL offering fits into our development stack and was a clean replacement for our MySQL database. If we had been using SQL Server instead, then the offering from Azure would have made more sense. I have used both in the past and both work well, with GCP being a little less expensive.
Anonymous | TrustRadius Reviewer

Return on Investment

Google BigQuery

  • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
  • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
  • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
Alex Andrews | TrustRadius Reviewer

Google Cloud SQL

  • Google Cloud SQL has reduced our operational costs by not having to manage our own instance of the MySQL server.
  • Since code and SQL instance are now decoupled, it was possible to scale where we had to.
Bhargav Nanekalva | TrustRadius Reviewer

Pricing Details

Google BigQuery

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Google Cloud SQL

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Google BigQuery
8.3
Google Cloud SQL
8.3

Likelihood to Renew

Google BigQuery
Google Cloud SQL
9.0

Usability

Google BigQuery
9.0
Google Cloud SQL

Support Rating

Google BigQuery
8.5
Google Cloud SQL
6.5

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